Supporting Drug Discovery with Data Science
The Molecular Modeling Lab (MML) at UNC Chapel Hill Eshelman School of Pharmacy works at the intersection of pharmaceutical development and data science to accelerate the discovery of novel drugs. Our focus is split between development of open source, innovative computational methods and applications of such methods in tangible discovery campaigns.
Highlights
QSAR and Cheminformatics
We use machine learning and data science to investigate the relationship between chemicals and their various biological activities. We strive to not only make advancements in methodology, but to develop robust workflows for using these tools.
Our Resources
Tools are useless if no one can use them. All of our tools and code is freely available for anyone to utilize and build upon. Further, many of our tools have easy to use web interfaces to enhance accessibility for the public.
Our Team
We are a group of diverse researchers with a broad range of academic backgrounds. Our team is able to approach problems from multifaceted viewpoints to increase the robustness of our solutions.
If you’re interested in joining the MML, click here!